Experience

• 

  Diebold

  Jan 2011 - Dec 2011

  Internship

  Internship in mechanical design.Main activities:• Mechanical design for automation products.• Support for technical specification of parts and products.

• 

  Kongsberg maritime

  Mar 2013 - Feb 2020

  Commercial and technical support to external customers in the maritime sector. The main activities included:• Mapping technical and commercial requirements for maritime systems• Attending meetings and conferences to promote products and services• Maintaining and promoting long-term relations with customers Technical field support for maritime systems, dynamic positioning, reference systems and sensors. The main activities included:• Offshore, onshore and remote support for vessels and rigs• Preparations of technical reports and documentation.• On-site training and demonstrations.

  • Key Support Manager

    Nov 2016 - Feb 2020

  • Service Engineer

    Mar 2013 - Nov 2016
• 

  Tecgraf / puc-rio

  Aug 2021 - Jul 2024

  Research and implementation of projects resulting in products for both external clients and academic papers. Key responsibilities include:• Application of advanced Natural Language Processing (NLP) techniques.• Use of Large Language Models (LLMs), such as ChatGPT.• Employment of LLM-based techniques such as Retrieval Augmented Generation (RAG), Fine-Tuning, and Prompt Engineering.• Implementation of Computer Vision techniques, including multimodal searches based on image content.• Efficient handling of tabular data in Oracle Database environments.• Proficient use of Python and SQL languages for data analysis and manipulation.• Utilization of GitLab for task management and code versioning.• Application of agile methodologies for effective project management.• Scalable data storage and processing in the cloud (AWS). Show less Research in Data Science project involving information extraction from unstructured documents, with results converted into solutions for clients and translated into academic papers with presentations at international conferences. The main responsibilities included:• Preprocessing and annotation of unstructured documents• Use of Natural Language Processing (NLP) techniques• Information extraction through Named Entity Recognition models and Text Classification• Python language usage and its Data Science packages such as Pandas, Numpy, Scikit-learn, etc.• Training and evaluation of Machine Learning models with Pytorch and Keras• Use of Jira for project management*Best Paper in Decision Support Systems at the 24th International Conference of Enterprise Information Systems (ICEIS) Show less

  • Data Scientist

    Sept 2022 - Jul 2024

  • Data Science Researcher

    Aug 2021 - Sept 2022
• 

  Siemens

  Jul 2024 - now

  Data scientist

  Focus on data-driven projects designed to enhance productivity across the organization, leveraging cutting-edge Generative AI technologies, to create innovative solutions that drive efficiency. Key responsibilities include: • Development of data science projects with a focus on increasing company productivity. • Expertise in Generative AI (GenAI) and LLMs, applying techniques such as fine-tuning and prompt engineering. • Extensive use of Databricks, Python, and APIs for building prototypes and scalable solutions. • Agile methodologies for project management, ensuring rapid iteration and continuous improvement. Show less